Artificial Intelligence Engineer

About the Role:

We are seeking an AI Scientist to drive innovation in next-generation AI systems, with a strong focus on large language models (LLMs), generative AI, agentic AI , and advanced data technologies. This role sits within a dedicated prototyping environment, working on cutting-edge AI, connectivity, communications, and trust technologies. You will be involved in hands-on experimentation and development, rapidly turning concepts into working prototypes.

Key Responsibilities:

Lead the end-to-end prototyping lifecycle for data and AI systems, from concept design to Proof-of-Concept development.

Develop and refine AI prototypes using novel techniques, with emphasis on LLM development, fine-tuning, optimisation , and real-world integration.

Produce clear, detailed technical documentation for experiments and prototypes.

Support and run innovation challenge activities to surface new ideas and prototype approaches.

Contribute technical thought leadership through papers, blogs, and presentations on AI best practices.

Participate in demos, technical showcases, and internal knowledge-sharing sessions.

Engage with global research and industry partners to stay current with emerging trends and represent the team at international forums.

Requirements:

You should have at least 5 years of experience (2-3 Years with PhD or 5 Years with Bachelors) in two or more of the following domains:

AI Product Engineering / Prototyping

Translating real-world problems into AI/ML problem statements.

Building ML/LLM models using modern AI libraries and techniques.

Deploying AI workflows to enhance product development or operational processes.

Assessing the effectiveness, scalability, and sustainability of AI workflows.

Data Engineering

Hands-on experience with data collection, ingestion, storage, transformation, and pipeline design.

Ability to map complex data sources, design data flows, and integrate multiple streams into usable datasets.

Familiarity with data management and optimisation practices.

AI Ethics & Governance

Applying ethical guidelines and governance frameworks in AI development.

Ensuring responsible and compliant use of AI in projects.

Additional Attributes

Experience commercialising or translating emerging technologies into practical applications.

Strong understanding of the practical limitations and challenges in AI and data systems.

Passion for hands-on experimentation and rapid prototyping.

Interest or experience in LLM development, model fine-tuning, agentic workflows , or generative AI applications.